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Time Series Econometrics : Learning Through Replication

Levendis, John D. - 2023 - 2nd ed. 2023.

-stationarity and ARIMA(p,d,q) processes -- Seasonal ARMA(p,q) processe -- Unit root tests -- Structural Breaks -- ARCH, GARCH and Time …-proof approach as much as possible, and emphasizes the practical application of econometrics. They show with examples how to … find the book useful. “How to best start learning time series econometrics? Learning by doing. This is the ethos of this …

Persistent link: https://www.econbiz.de/10014443465

Forecasting a mix of temporal and non-temporal economic variables with a mixture-of-experts neural network

Nguyen, Dat-Dao; Kira, Dennis - In: International journal of economics and finance 10 (2018) 8, pp. 141-157

Persistent link: https://www.econbiz.de/10011905867

Resource-economic growth nexus, role of governance, financial development, globalization, and war : a dynamic approach

Jalili, Zahra; Bishak, Mohammad Reza Salmani; Azad, … - In: Journal of economic integration : jei 34 (2019) 3, pp. 520-545

Persistent link: https://www.econbiz.de/10012136126

A model-based measurement device in European fiscal policy-making : the ontology and epistemology of potential output

Heimberger, Philipp; Kapeller, Jakob - 2016

While the development of scientific theories and measurement concepts has always been strongly intertwined, model-based measurements, specified as parameters in a statistical model, have been receiving increasing attention over the last decades. In this paper, we analyze the ontological and...

Persistent link: https://www.econbiz.de/10011779629

Time Series Modelling using TSMod 3.24

Bos, Charles S. - 2003

TSMod is an interactive program which allows the user to estimate a broad range of univariate models. This review describes the possibilities of the package, from a user's perspective and with a secondary focus on the numerical accuracy of the program.

Persistent link: https://www.econbiz.de/10010324861